A citation-based method for searching scientific literature

Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
Times Cited: 122







List of co-cited articles
788 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Spatio-temporal correlations and visual signalling in a complete neuronal population.
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
585
38

A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
Wilson Truccolo, Uri T Eden, Matthew R Fellows, John P Donoghue, Emery N Brown. J Neurophysiol 2005
484
34



Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.
Jonathan W Pillow, Liam Paninski, Valerie J Uzzell, Eero P Simoncelli, E J Chichilnisky. J Neurosci 2005
190
17

Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
710
14

Multiple neural spike train data analysis: state-of-the-art and future challenges.
Emery N Brown, Robert E Kass, Partha P Mitra. Nat Neurosci 2004
373
13

Sequential optimal design of neurophysiology experiments.
Jeremy Lewi, Robert Butera, Liam Paninski. Neural Comput 2009
54
22

A new look at state-space models for neural data.
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua Vogelstein, Wei Wu. J Comput Neurosci 2010
84
14

Complete functional characterization of sensory neurons by system identification.
Michael C-K Wu, Stephen V David, Jack L Gallant. Annu Rev Neurosci 2006
162
12

Spike-triggered neural characterization.
Odelia Schwartz, Jonathan W Pillow, Nicole C Rust, Eero P Simoncelli. J Vis 2006
238
12

Analyzing neural responses to natural signals: maximally informative dimensions.
Tatyana Sharpee, Nicole C Rust, William Bialek. Neural Comput 2004
178
11

Neural correlations, population coding and computation.
Bruno B Averbeck, Peter E Latham, Alexandre Pouget. Nat Rev Neurosci 2006
808
10

The time-rescaling theorem and its application to neural spike train data analysis.
Emery N Brown, Riccardo Barbieri, ValĂ©rie Ventura, Robert E Kass, Loren M Frank. Neural Comput 2002
249
9


Inferring input nonlinearities in neural encoding models.
Misha B Ahrens, Liam Paninski, Maneesh Sahani. Network 2008
49
18

Estimating a state-space model from point process observations.
Anne C Smith, Emery N Brown. Neural Comput 2003
156
9

How advances in neural recording affect data analysis.
Ian H Stevenson, Konrad P Kording. Nat Neurosci 2011
201
9

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
296
9

From response to stimulus: adaptive sampling in sensory physiology.
Jan Benda, Tim Gollisch, Christian K Machens, Andreas Vm Herz. Curr Opin Neurobiol 2007
34
23

Reading a neural code.
W Bialek, F Rieke, R R de Ruyter van Steveninck, D Warland. Science 1991
525
8


The structure of multi-neuron firing patterns in primate retina.
Jonathon Shlens, Greg D Field, Jeffrey L Gauthier, Matthew I Grivich, Dumitru Petrusca, Alexander Sher, Alan M Litke, E J Chichilnisky. J Neurosci 2006
246
8



Ruling out and ruling in neural codes.
Adam L Jacobs, Gene Fridman, Robert M Douglas, Nazia M Alam, Peter E Latham, Glen T Prusky, Sheila Nirenberg. Proc Natl Acad Sci U S A 2009
106
8

Retinal prosthetic strategy with the capacity to restore normal vision.
Sheila Nirenberg, Chethan Pandarinath. Proc Natl Acad Sci U S A 2012
102
8

Encoding and decoding in parietal cortex during sensorimotor decision-making.
Il Memming Park, Miriam L R Meister, Alexander C Huk, Jonathan W Pillow. Nat Neurosci 2014
97
8

Performance-optimized hierarchical models predict neural responses in higher visual cortex.
Daniel L K Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, James J DiCarlo. Proc Natl Acad Sci U S A 2014
414
8

Inferring nonlinear neuronal computation based on physiologically plausible inputs.
James M McFarland, Yuwei Cui, Daniel A Butts. PLoS Comput Biol 2013
73
10

Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli.
F E Theunissen, S V David, N C Singh, A Hsu, W E Vinje, J L Gallant. Network 2001
214
7


Neural decoding of hand motion using a linear state-space model with hidden states.
Wei Wu, Jayant E Kulkarni, Nicholas G Hatsopoulos, Liam Paninski. IEEE Trans Neural Syst Rehabil Eng 2009
34
20


Recursive bayesian decoding of motor cortical signals by particle filtering.
A E Brockwell, A L Rojas, R E Kass. J Neurophysiol 2004
116
7


Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy, Maneesh Sahani. J Neurophysiol 2009
207
7

Dynamic analysis of neural encoding by point process adaptive filtering.
Uri T Eden, Loren M Frank, Riccardo Barbieri, Victor Solo, Emery N Brown. Neural Comput 2004
165
7


A generalized linear model for estimating spectrotemporal receptive fields from responses to natural sounds.
Ana Calabrese, Joseph W Schumacher, David M Schneider, Liam Paninski, Sarah M N Woolley. PLoS One 2011
68
10


Designing optimal stimuli to control neuronal spike timing.
Yashar Ahmadian, Adam M Packer, Rafael Yuste, Liam Paninski. J Neurophysiol 2011
26
26

Encoding and decoding in fMRI.
Thomas Naselaris, Kendrick N Kay, Shinji Nishimoto, Jack L Gallant. Neuroimage 2011
290
7


Receptive field inference with localized priors.
Mijung Park, Jonathan W Pillow. PLoS Comput Biol 2011
36
19

Identifying natural images from human brain activity.
Kendrick N Kay, Thomas Naselaris, Ryan J Prenger, Jack L Gallant. Nature 2008
514
6


A neural code for three-dimensional object shape in macaque inferotemporal cortex.
Yukako Yamane, Eric T Carlson, Katherine C Bowman, Zhihong Wang, Charles E Connor. Nat Neurosci 2008
156
6

Optimizing sound features for cortical neurons.
R C deCharms, D T Blake, M M Merzenich. Science 1998
306
6

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model.
Liam Paninski, Jonathan W Pillow, Eero P Simoncelli. Neural Comput 2004
152
6


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.